计算机技术与发展
計算機技術與髮展
계산궤기술여발전
COMPUTER TECHNOLOGY AND DEVELOPMENT
2014年
11期
69-73,78
,共6页
图像融合%数据同化%遗传算法%粒子群算法%差分进化算法
圖像融閤%數據同化%遺傳算法%粒子群算法%差分進化算法
도상융합%수거동화%유전산법%입자군산법%차분진화산법
image fusion%data assimilation%GA%PSO%differential evolution algorithm
数据同化凭借其在数值预报中将观测数据与理论模型相结合的特点，目前广泛应用于遥感图像处理及图像融合领域。文中介绍了数据同化的含义和数据同化系统的构成，并分析了其应用于图像融合的原理；结合现有的研究成果着重分析了数据同化框架下结合不同优化算法的图像融合方法，并对其进行分类比较，给出了各方法的优缺点和研究成果及应用；最后在总结了各种基于数据同化的图像融合方法普遍存在的问题的基础上，探讨了进一步发展与研究的方向。
數據同化憑藉其在數值預報中將觀測數據與理論模型相結閤的特點，目前廣汎應用于遙感圖像處理及圖像融閤領域。文中介紹瞭數據同化的含義和數據同化繫統的構成，併分析瞭其應用于圖像融閤的原理；結閤現有的研究成果著重分析瞭數據同化框架下結閤不同優化算法的圖像融閤方法，併對其進行分類比較，給齣瞭各方法的優缺點和研究成果及應用；最後在總結瞭各種基于數據同化的圖像融閤方法普遍存在的問題的基礎上，探討瞭進一步髮展與研究的方嚮。
수거동화빙차기재수치예보중장관측수거여이론모형상결합적특점，목전엄범응용우요감도상처리급도상융합영역。문중개소료수거동화적함의화수거동화계통적구성，병분석료기응용우도상융합적원리；결합현유적연구성과착중분석료수거동화광가하결합불동우화산법적도상융합방법，병대기진행분류비교，급출료각방법적우결점화연구성과급응용；최후재총결료각충기우수거동화적도상융합방법보편존재적문제적기출상，탐토료진일보발전여연구적방향。
Data assimilation with its benefits of combing observation data with prediction model in the field of numerical prediction is widely used in the field of remote sensing image processing and the image fusion. In this paper,the meaning of data assimilation and the structure of its system are presented,the principle of its applying into image fusion is analyzed. Referring to the existed research,also have a detailed analysis of different image fusion methods based on data assimilation and different optimization algorithms,further more,the work of classification and comparison is done,both the advantages and the disadvantages are emphasized and the direction of future re-search are showed. Then by summarizing the insufficient cased by the image fusion methods based on data assimilation,the development and the research direction of this method are discussed further.
